{
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   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 34: Comparing Covariance Estimators Methods\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1953%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2409%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2411%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5866%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5647%</td>\n",
       "      <td>0.3108%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9145%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1389%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2206%</td>\n",
       "      <td>-0.8855%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0309%</td>\n",
       "      <td>-1.0411%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2845%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0020%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2736%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5706%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7642%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1387%</td>\n",
       "      <td>-0.9720%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3383%</td>\n",
       "      <td>0.1692%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6436%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9869%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9919%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
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      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4057%  0.4035%  1.9693%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2411% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1389% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2206%   \n",
       "2016-01-08   0.2736% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5706%   \n",
       "2016-01-11  -4.3383%  0.1692% -1.6851% -1.0215%  0.0915% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1953%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5866% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8855% -4.6059% -2.5394%  ... -2.2066% -3.0309% -1.0411%   \n",
       "2016-01-08 -1.6402% -1.7642% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6436%  0.0000%  0.9869%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2409%  1.3734% -1.0857%  \n",
       "2016-01-06 -1.5647%  0.3108% -1.0155% -0.7653% -3.0048% -0.9034% -2.9145%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2845% -2.0570% -0.5492% -3.0020%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3839% -0.1117% -1.1387% -0.9720% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9919%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Mean Variance Portfolios\n",
    "\n",
    "### 2.1 Calculating the portfolio that minimizes Variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You must convert self.cov to a positive definite matrix\n"
     ]
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "\n",
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimal portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_covs = ['hist', 'ledoit', 'oas', 'shrunk', 'gl', 'ewma1',\n",
    "               'ewma2','jlogo', 'fixed', 'spectral', 'shrink',\n",
    "               'gerber1', 'gerber2']\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'MinRisk' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "\n",
    "for i in method_covs:\n",
    "    port.assets_stats(method_mu=method_mu, method_cov=i)\n",
    "    w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = method_covs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       "#T_38c13_row3_col0 {\n",
       "  background-color: #c9e99c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col1, #T_38c13_row5_col5, #T_38c13_row5_col6 {\n",
       "  background-color: #c7e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col2, #T_38c13_row7_col5, #T_38c13_row7_col6 {\n",
       "  background-color: #c8e99b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col3, #T_38c13_row3_col7 {\n",
       "  background-color: #bae394;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col4 {\n",
       "  background-color: #b5e092;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col5, #T_38c13_row3_col6 {\n",
       "  background-color: #56b568;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row3_col8 {\n",
       "  background-color: #f5fbb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row3_col12, #T_38c13_row4_col2, #T_38c13_row21_col11 {\n",
       "  background-color: #f0f9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col0, #T_38c13_row24_col12 {\n",
       "  background-color: #f3fab6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col1, #T_38c13_row4_col7, #T_38c13_row24_col11 {\n",
       "  background-color: #eff9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col3 {\n",
       "  background-color: #e2f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col5, #T_38c13_row4_col6, #T_38c13_row13_col7, #T_38c13_row19_col10 {\n",
       "  background-color: #9dd688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col8, #T_38c13_row7_col7 {\n",
       "  background-color: #fafdcc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col10 {\n",
       "  background-color: #fbfdce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col11, #T_38c13_row9_col7, #T_38c13_row20_col3 {\n",
       "  background-color: #c5e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row4_col12 {\n",
       "  background-color: #dbf1a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col0, #T_38c13_row10_col0, #T_38c13_row10_col11, #T_38c13_row19_col3 {\n",
       "  background-color: #86cc7f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col1 {\n",
       "  background-color: #7ec97b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col2 {\n",
       "  background-color: #81ca7d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col3 {\n",
       "  background-color: #68be71;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col4 {\n",
       "  background-color: #0b713b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row5_col7 {\n",
       "  background-color: #95d385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col8, #T_38c13_row13_col1, #T_38c13_row23_col12 {\n",
       "  background-color: #7ac77a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col10 {\n",
       "  background-color: #cbea9c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row5_col11 {\n",
       "  background-color: #47ae60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row5_col12, #T_38c13_row13_col2 {\n",
       "  background-color: #7cc87b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col0, #T_38c13_row11_col3 {\n",
       "  background-color: #e1f3a9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col2, #T_38c13_row20_col10 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col3, #T_38c13_row20_col1 {\n",
       "  background-color: #ceeb9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col5, #T_38c13_row6_col6 {\n",
       "  background-color: #aedd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col7, #T_38c13_row11_col5, #T_38c13_row11_col6 {\n",
       "  background-color: #a4d98a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col8, #T_38c13_row21_col4 {\n",
       "  background-color: #f8fcbe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row6_col12 {\n",
       "  background-color: #fdfedb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row7_col0, #T_38c13_row16_col8, #T_38c13_row24_col2 {\n",
       "  background-color: #ffffe4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row7_col1 {\n",
       "  background-color: #feffe1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row7_col2, #T_38c13_row7_col4, #T_38c13_row8_col7, #T_38c13_row18_col0, #T_38c13_row24_col1 {\n",
       "  background-color: #feffe2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row7_col3, #T_38c13_row16_col11 {\n",
       "  background-color: #fcfed6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row7_col11, #T_38c13_row21_col8 {\n",
       "  background-color: #fdfeda;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row8_col5, #T_38c13_row8_col6, #T_38c13_row9_col1, #T_38c13_row20_col12, #T_38c13_row24_col8 {\n",
       "  background-color: #e5f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row9_col2, #T_38c13_row11_col1 {\n",
       "  background-color: #e6f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row9_col4 {\n",
       "  background-color: #c0e597;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row9_col8 {\n",
       "  background-color: #f8fdc1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row9_col10 {\n",
       "  background-color: #f4fbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row9_col11 {\n",
       "  background-color: #eef9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row10_col1 {\n",
       "  background-color: #8bce81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row10_col2 {\n",
       "  background-color: #88cd7f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row10_col3 {\n",
       "  background-color: #9ad587;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row10_col4 {\n",
       "  background-color: #f8fcbd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row10_col8, #T_38c13_row23_col11 {\n",
       "  background-color: #4eb163;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row10_col9 {\n",
       "  background-color: #1f8142;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row10_col12 {\n",
       "  background-color: #75c578;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col2 {\n",
       "  background-color: #e7f6ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col4 {\n",
       "  background-color: #edf8b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col7, #T_38c13_row20_col2 {\n",
       "  background-color: #cfec9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col8, #T_38c13_row18_col3, #T_38c13_row24_col3, #T_38c13_row24_col5, #T_38c13_row24_col6 {\n",
       "  background-color: #fbfed0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col10, #T_38c13_row19_col5, #T_38c13_row19_col6 {\n",
       "  background-color: #f7fcb9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col11 {\n",
       "  background-color: #e0f3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row11_col12 {\n",
       "  background-color: #eaf7af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row12_col0 {\n",
       "  background-color: #096f3a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col1 {\n",
       "  background-color: #0e743c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col2 {\n",
       "  background-color: #0c723b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col3, #T_38c13_row15_col1, #T_38c13_row15_col2 {\n",
       "  background-color: #1d7f41;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col4, #T_38c13_row12_col8, #T_38c13_row15_col5, #T_38c13_row15_col6, #T_38c13_row15_col9, #T_38c13_row17_col0, #T_38c13_row17_col1, #T_38c13_row17_col2, #T_38c13_row17_col3, #T_38c13_row17_col7, #T_38c13_row17_col10, #T_38c13_row17_col11, #T_38c13_row17_col12 {\n",
       "  background-color: #004529;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col5, #T_38c13_row12_col6, #T_38c13_row15_col12 {\n",
       "  background-color: #228343;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col7 {\n",
       "  background-color: #acdd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row12_col10, #T_38c13_row12_col11, #T_38c13_row23_col4 {\n",
       "  background-color: #036b38;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row12_col12 {\n",
       "  background-color: #12763d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row13_col0, #T_38c13_row23_col7 {\n",
       "  background-color: #7fc97c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row13_col3 {\n",
       "  background-color: #6dc073;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row13_col4 {\n",
       "  background-color: #2e924c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row13_col5, #T_38c13_row13_col6 {\n",
       "  background-color: #187b3f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row13_col8 {\n",
       "  background-color: #ccea9d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row13_col10 {\n",
       "  background-color: #d3eda0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row13_col11 {\n",
       "  background-color: #51b365;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row13_col12, #T_38c13_row19_col4 {\n",
       "  background-color: #69bf72;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row14_col4 {\n",
       "  background-color: #fbfed2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row14_col11 {\n",
       "  background-color: #fafdc9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row15_col0 {\n",
       "  background-color: #1e8041;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row15_col3 {\n",
       "  background-color: #167a3f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row15_col4 {\n",
       "  background-color: #278946;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row15_col7 {\n",
       "  background-color: #afde8f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row15_col8 {\n",
       "  background-color: #005830;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row15_col10 {\n",
       "  background-color: #11753d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row15_col11 {\n",
       "  background-color: #13773d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row17_col4 {\n",
       "  background-color: #005c32;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row17_col5, #T_38c13_row17_col6, #T_38c13_row23_col3 {\n",
       "  background-color: #53b466;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row17_col8 {\n",
       "  background-color: #00502d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row18_col1, #T_38c13_row22_col11 {\n",
       "  background-color: #feffde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row18_col4, #T_38c13_row19_col12, #T_38c13_row20_col4 {\n",
       "  background-color: #c1e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row18_col7 {\n",
       "  background-color: #a6da8b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row18_col11, #T_38c13_row20_col5, #T_38c13_row20_col6 {\n",
       "  background-color: #f9fdc2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row19_col1 {\n",
       "  background-color: #8ed082;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row19_col7 {\n",
       "  background-color: #b2df90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row19_col8 {\n",
       "  background-color: #62bb6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row19_col9 {\n",
       "  background-color: #ecf7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row19_col11 {\n",
       "  background-color: #8dcf81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row20_col0 {\n",
       "  background-color: #d0ec9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row20_col8 {\n",
       "  background-color: #f6fcb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row20_col11 {\n",
       "  background-color: #daf0a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row21_col12 {\n",
       "  background-color: #fcfed3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row22_col8 {\n",
       "  background-color: #fcfed7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row23_col0, #T_38c13_row23_col10 {\n",
       "  background-color: #61bb6d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row23_col1, #T_38c13_row23_col2 {\n",
       "  background-color: #5db96b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_38c13_row23_col5, #T_38c13_row23_col6 {\n",
       "  background-color: #f7fcbc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_38c13_row23_col8 {\n",
       "  background-color: #2b8e4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_38c13\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_38c13_level0_col0\" class=\"col_heading level0 col0\" >hist</th>\n",
       "      <th id=\"T_38c13_level0_col1\" class=\"col_heading level0 col1\" >ledoit</th>\n",
       "      <th id=\"T_38c13_level0_col2\" class=\"col_heading level0 col2\" >oas</th>\n",
       "      <th id=\"T_38c13_level0_col3\" class=\"col_heading level0 col3\" >shrunk</th>\n",
       "      <th id=\"T_38c13_level0_col4\" class=\"col_heading level0 col4\" >gl</th>\n",
       "      <th id=\"T_38c13_level0_col5\" class=\"col_heading level0 col5\" >ewma1</th>\n",
       "      <th id=\"T_38c13_level0_col6\" class=\"col_heading level0 col6\" >ewma2</th>\n",
       "      <th id=\"T_38c13_level0_col7\" class=\"col_heading level0 col7\" >jlogo</th>\n",
       "      <th id=\"T_38c13_level0_col8\" class=\"col_heading level0 col8\" >fixed</th>\n",
       "      <th id=\"T_38c13_level0_col9\" class=\"col_heading level0 col9\" >spectral</th>\n",
       "      <th id=\"T_38c13_level0_col10\" class=\"col_heading level0 col10\" >shrink</th>\n",
       "      <th id=\"T_38c13_level0_col11\" class=\"col_heading level0 col11\" >gerber1</th>\n",
       "      <th id=\"T_38c13_level0_col12\" class=\"col_heading level0 col12\" >gerber2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_38c13_row0_col0\" class=\"data row0 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col1\" class=\"data row0 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col2\" class=\"data row0 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col3\" class=\"data row0 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col4\" class=\"data row0 col4\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col5\" class=\"data row0 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col6\" class=\"data row0 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col7\" class=\"data row0 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col8\" class=\"data row0 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col9\" class=\"data row0 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col10\" class=\"data row0 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row0_col11\" class=\"data row0 col11\" >0.02%</td>\n",
       "      <td id=\"T_38c13_row0_col12\" class=\"data row0 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_38c13_row1_col0\" class=\"data row1 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col1\" class=\"data row1 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col2\" class=\"data row1 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col3\" class=\"data row1 col3\" >0.23%</td>\n",
       "      <td id=\"T_38c13_row1_col4\" class=\"data row1 col4\" >1.21%</td>\n",
       "      <td id=\"T_38c13_row1_col5\" class=\"data row1 col5\" >7.07%</td>\n",
       "      <td id=\"T_38c13_row1_col6\" class=\"data row1 col6\" >7.07%</td>\n",
       "      <td id=\"T_38c13_row1_col7\" class=\"data row1 col7\" >2.81%</td>\n",
       "      <td id=\"T_38c13_row1_col8\" class=\"data row1 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col9\" class=\"data row1 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col10\" class=\"data row1 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row1_col11\" class=\"data row1 col11\" >1.14%</td>\n",
       "      <td id=\"T_38c13_row1_col12\" class=\"data row1 col12\" >0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_38c13_row2_col0\" class=\"data row2 col0\" >5.24%</td>\n",
       "      <td id=\"T_38c13_row2_col1\" class=\"data row2 col1\" >5.33%</td>\n",
       "      <td id=\"T_38c13_row2_col2\" class=\"data row2 col2\" >5.30%</td>\n",
       "      <td id=\"T_38c13_row2_col3\" class=\"data row2 col3\" >5.55%</td>\n",
       "      <td id=\"T_38c13_row2_col4\" class=\"data row2 col4\" >6.31%</td>\n",
       "      <td id=\"T_38c13_row2_col5\" class=\"data row2 col5\" >3.26%</td>\n",
       "      <td id=\"T_38c13_row2_col6\" class=\"data row2 col6\" >3.26%</td>\n",
       "      <td id=\"T_38c13_row2_col7\" class=\"data row2 col7\" >8.69%</td>\n",
       "      <td id=\"T_38c13_row2_col8\" class=\"data row2 col8\" >4.05%</td>\n",
       "      <td id=\"T_38c13_row2_col9\" class=\"data row2 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row2_col10\" class=\"data row2 col10\" >3.16%</td>\n",
       "      <td id=\"T_38c13_row2_col11\" class=\"data row2 col11\" >5.64%</td>\n",
       "      <td id=\"T_38c13_row2_col12\" class=\"data row2 col12\" >6.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_38c13_row3_col0\" class=\"data row3 col0\" >4.39%</td>\n",
       "      <td id=\"T_38c13_row3_col1\" class=\"data row3 col1\" >4.45%</td>\n",
       "      <td id=\"T_38c13_row3_col2\" class=\"data row3 col2\" >4.43%</td>\n",
       "      <td id=\"T_38c13_row3_col3\" class=\"data row3 col3\" >4.64%</td>\n",
       "      <td id=\"T_38c13_row3_col4\" class=\"data row3 col4\" >4.04%</td>\n",
       "      <td id=\"T_38c13_row3_col5\" class=\"data row3 col5\" >8.14%</td>\n",
       "      <td id=\"T_38c13_row3_col6\" class=\"data row3 col6\" >8.14%</td>\n",
       "      <td id=\"T_38c13_row3_col7\" class=\"data row3 col7\" >5.16%</td>\n",
       "      <td id=\"T_38c13_row3_col8\" class=\"data row3 col8\" >2.00%</td>\n",
       "      <td id=\"T_38c13_row3_col9\" class=\"data row3 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row3_col10\" class=\"data row3 col10\" >3.82%</td>\n",
       "      <td id=\"T_38c13_row3_col11\" class=\"data row3 col11\" >2.96%</td>\n",
       "      <td id=\"T_38c13_row3_col12\" class=\"data row3 col12\" >2.40%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_38c13_row4_col0\" class=\"data row4 col0\" >2.13%</td>\n",
       "      <td id=\"T_38c13_row4_col1\" class=\"data row4 col1\" >2.34%</td>\n",
       "      <td id=\"T_38c13_row4_col2\" class=\"data row4 col2\" >2.25%</td>\n",
       "      <td id=\"T_38c13_row4_col3\" class=\"data row4 col3\" >2.94%</td>\n",
       "      <td id=\"T_38c13_row4_col4\" class=\"data row4 col4\" >4.08%</td>\n",
       "      <td id=\"T_38c13_row4_col5\" class=\"data row4 col5\" >5.81%</td>\n",
       "      <td id=\"T_38c13_row4_col6\" class=\"data row4 col6\" >5.81%</td>\n",
       "      <td id=\"T_38c13_row4_col7\" class=\"data row4 col7\" >2.43%</td>\n",
       "      <td id=\"T_38c13_row4_col8\" class=\"data row4 col8\" >1.10%</td>\n",
       "      <td id=\"T_38c13_row4_col9\" class=\"data row4 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row4_col10\" class=\"data row4 col10\" >1.10%</td>\n",
       "      <td id=\"T_38c13_row4_col11\" class=\"data row4 col11\" >3.89%</td>\n",
       "      <td id=\"T_38c13_row4_col12\" class=\"data row4 col12\" >3.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_38c13_row5_col0\" class=\"data row5 col0\" >6.99%</td>\n",
       "      <td id=\"T_38c13_row5_col1\" class=\"data row5 col1\" >7.10%</td>\n",
       "      <td id=\"T_38c13_row5_col2\" class=\"data row5 col2\" >7.06%</td>\n",
       "      <td id=\"T_38c13_row5_col3\" class=\"data row5 col3\" >7.36%</td>\n",
       "      <td id=\"T_38c13_row5_col4\" class=\"data row5 col4\" >9.50%</td>\n",
       "      <td id=\"T_38c13_row5_col5\" class=\"data row5 col5\" >4.25%</td>\n",
       "      <td id=\"T_38c13_row5_col6\" class=\"data row5 col6\" >4.25%</td>\n",
       "      <td id=\"T_38c13_row5_col7\" class=\"data row5 col7\" >6.58%</td>\n",
       "      <td id=\"T_38c13_row5_col8\" class=\"data row5 col8\" >7.37%</td>\n",
       "      <td id=\"T_38c13_row5_col9\" class=\"data row5 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row5_col10\" class=\"data row5 col10\" >4.82%</td>\n",
       "      <td id=\"T_38c13_row5_col11\" class=\"data row5 col11\" >7.78%</td>\n",
       "      <td id=\"T_38c13_row5_col12\" class=\"data row5 col12\" >7.64%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_38c13_row6_col0\" class=\"data row6 col0\" >3.23%</td>\n",
       "      <td id=\"T_38c13_row6_col1\" class=\"data row6 col1\" >3.39%</td>\n",
       "      <td id=\"T_38c13_row6_col2\" class=\"data row6 col2\" >3.32%</td>\n",
       "      <td id=\"T_38c13_row6_col3\" class=\"data row6 col3\" >3.91%</td>\n",
       "      <td id=\"T_38c13_row6_col4\" class=\"data row6 col4\" >4.63%</td>\n",
       "      <td id=\"T_38c13_row6_col5\" class=\"data row6 col5\" >5.26%</td>\n",
       "      <td id=\"T_38c13_row6_col6\" class=\"data row6 col6\" >5.26%</td>\n",
       "      <td id=\"T_38c13_row6_col7\" class=\"data row6 col7\" >6.03%</td>\n",
       "      <td id=\"T_38c13_row6_col8\" class=\"data row6 col8\" >1.68%</td>\n",
       "      <td id=\"T_38c13_row6_col9\" class=\"data row6 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row6_col10\" class=\"data row6 col10\" >1.78%</td>\n",
       "      <td id=\"T_38c13_row6_col11\" class=\"data row6 col11\" >2.40%</td>\n",
       "      <td id=\"T_38c13_row6_col12\" class=\"data row6 col12\" >0.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_38c13_row7_col0\" class=\"data row7 col0\" >0.07%</td>\n",
       "      <td id=\"T_38c13_row7_col1\" class=\"data row7 col1\" >0.21%</td>\n",
       "      <td id=\"T_38c13_row7_col2\" class=\"data row7 col2\" >0.16%</td>\n",
       "      <td id=\"T_38c13_row7_col3\" class=\"data row7 col3\" >0.59%</td>\n",
       "      <td id=\"T_38c13_row7_col4\" class=\"data row7 col4\" >0.11%</td>\n",
       "      <td id=\"T_38c13_row7_col5\" class=\"data row7 col5\" >4.22%</td>\n",
       "      <td id=\"T_38c13_row7_col6\" class=\"data row7 col6\" >4.22%</td>\n",
       "      <td id=\"T_38c13_row7_col7\" class=\"data row7 col7\" >1.08%</td>\n",
       "      <td id=\"T_38c13_row7_col8\" class=\"data row7 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row7_col9\" class=\"data row7 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row7_col10\" class=\"data row7 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row7_col11\" class=\"data row7 col11\" >0.43%</td>\n",
       "      <td id=\"T_38c13_row7_col12\" class=\"data row7 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_38c13_row8_col0\" class=\"data row8 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col1\" class=\"data row8 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col2\" class=\"data row8 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col3\" class=\"data row8 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col4\" class=\"data row8 col4\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col5\" class=\"data row8 col5\" >2.86%</td>\n",
       "      <td id=\"T_38c13_row8_col6\" class=\"data row8 col6\" >2.86%</td>\n",
       "      <td id=\"T_38c13_row8_col7\" class=\"data row8 col7\" >0.16%</td>\n",
       "      <td id=\"T_38c13_row8_col8\" class=\"data row8 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col9\" class=\"data row8 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col10\" class=\"data row8 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col11\" class=\"data row8 col11\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row8_col12\" class=\"data row8 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_38c13_row9_col0\" class=\"data row9 col0\" >2.84%</td>\n",
       "      <td id=\"T_38c13_row9_col1\" class=\"data row9 col1\" >2.94%</td>\n",
       "      <td id=\"T_38c13_row9_col2\" class=\"data row9 col2\" >2.90%</td>\n",
       "      <td id=\"T_38c13_row9_col3\" class=\"data row9 col3\" >3.21%</td>\n",
       "      <td id=\"T_38c13_row9_col4\" class=\"data row9 col4\" >3.67%</td>\n",
       "      <td id=\"T_38c13_row9_col5\" class=\"data row9 col5\" >3.80%</td>\n",
       "      <td id=\"T_38c13_row9_col6\" class=\"data row9 col6\" >3.80%</td>\n",
       "      <td id=\"T_38c13_row9_col7\" class=\"data row9 col7\" >4.70%</td>\n",
       "      <td id=\"T_38c13_row9_col8\" class=\"data row9 col8\" >1.52%</td>\n",
       "      <td id=\"T_38c13_row9_col9\" class=\"data row9 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row9_col10\" class=\"data row9 col10\" >2.27%</td>\n",
       "      <td id=\"T_38c13_row9_col11\" class=\"data row9 col11\" >2.07%</td>\n",
       "      <td id=\"T_38c13_row9_col12\" class=\"data row9 col12\" >1.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_38c13_row10_col0\" class=\"data row10 col0\" >6.96%</td>\n",
       "      <td id=\"T_38c13_row10_col1\" class=\"data row10 col1\" >6.69%</td>\n",
       "      <td id=\"T_38c13_row10_col2\" class=\"data row10 col2\" >6.83%</td>\n",
       "      <td id=\"T_38c13_row10_col3\" class=\"data row10 col3\" >5.77%</td>\n",
       "      <td id=\"T_38c13_row10_col4\" class=\"data row10 col4\" >1.30%</td>\n",
       "      <td id=\"T_38c13_row10_col5\" class=\"data row10 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row10_col6\" class=\"data row10 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row10_col7\" class=\"data row10 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row10_col8\" class=\"data row10 col8\" >8.91%</td>\n",
       "      <td id=\"T_38c13_row10_col9\" class=\"data row10 col9\" >39.43%</td>\n",
       "      <td id=\"T_38c13_row10_col10\" class=\"data row10 col10\" >9.23%</td>\n",
       "      <td id=\"T_38c13_row10_col11\" class=\"data row10 col11\" >5.96%</td>\n",
       "      <td id=\"T_38c13_row10_col12\" class=\"data row10 col12\" >7.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_38c13_row11_col0\" class=\"data row11 col0\" >2.85%</td>\n",
       "      <td id=\"T_38c13_row11_col1\" class=\"data row11 col1\" >2.88%</td>\n",
       "      <td id=\"T_38c13_row11_col2\" class=\"data row11 col2\" >2.87%</td>\n",
       "      <td id=\"T_38c13_row11_col3\" class=\"data row11 col3\" >2.97%</td>\n",
       "      <td id=\"T_38c13_row11_col4\" class=\"data row11 col4\" >1.95%</td>\n",
       "      <td id=\"T_38c13_row11_col5\" class=\"data row11 col5\" >5.57%</td>\n",
       "      <td id=\"T_38c13_row11_col6\" class=\"data row11 col6\" >5.57%</td>\n",
       "      <td id=\"T_38c13_row11_col7\" class=\"data row11 col7\" >4.28%</td>\n",
       "      <td id=\"T_38c13_row11_col8\" class=\"data row11 col8\" >0.88%</td>\n",
       "      <td id=\"T_38c13_row11_col9\" class=\"data row11 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row11_col10\" class=\"data row11 col10\" >2.12%</td>\n",
       "      <td id=\"T_38c13_row11_col11\" class=\"data row11 col11\" >2.80%</td>\n",
       "      <td id=\"T_38c13_row11_col12\" class=\"data row11 col12\" >2.84%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_38c13_row12_col0\" class=\"data row12 col0\" >12.58%</td>\n",
       "      <td id=\"T_38c13_row12_col1\" class=\"data row12 col1\" >12.07%</td>\n",
       "      <td id=\"T_38c13_row12_col2\" class=\"data row12 col2\" >12.27%</td>\n",
       "      <td id=\"T_38c13_row12_col3\" class=\"data row12 col3\" >10.61%</td>\n",
       "      <td id=\"T_38c13_row12_col4\" class=\"data row12 col4\" >11.38%</td>\n",
       "      <td id=\"T_38c13_row12_col5\" class=\"data row12 col5\" >10.63%</td>\n",
       "      <td id=\"T_38c13_row12_col6\" class=\"data row12 col6\" >10.63%</td>\n",
       "      <td id=\"T_38c13_row12_col7\" class=\"data row12 col7\" >5.78%</td>\n",
       "      <td id=\"T_38c13_row12_col8\" class=\"data row12 col8\" >14.93%</td>\n",
       "      <td id=\"T_38c13_row12_col9\" class=\"data row12 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row12_col10\" class=\"data row12 col10\" >14.27%</td>\n",
       "      <td id=\"T_38c13_row12_col11\" class=\"data row12 col11\" >10.97%</td>\n",
       "      <td id=\"T_38c13_row12_col12\" class=\"data row12 col12\" >12.66%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_38c13_row13_col0\" class=\"data row13 col0\" >7.21%</td>\n",
       "      <td id=\"T_38c13_row13_col1\" class=\"data row13 col1\" >7.22%</td>\n",
       "      <td id=\"T_38c13_row13_col2\" class=\"data row13 col2\" >7.22%</td>\n",
       "      <td id=\"T_38c13_row13_col3\" class=\"data row13 col3\" >7.22%</td>\n",
       "      <td id=\"T_38c13_row13_col4\" class=\"data row13 col4\" >8.04%</td>\n",
       "      <td id=\"T_38c13_row13_col5\" class=\"data row13 col5\" >11.07%</td>\n",
       "      <td id=\"T_38c13_row13_col6\" class=\"data row13 col6\" >11.07%</td>\n",
       "      <td id=\"T_38c13_row13_col7\" class=\"data row13 col7\" >6.30%</td>\n",
       "      <td id=\"T_38c13_row13_col8\" class=\"data row13 col8\" >4.28%</td>\n",
       "      <td id=\"T_38c13_row13_col9\" class=\"data row13 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row13_col10\" class=\"data row13 col10\" >4.46%</td>\n",
       "      <td id=\"T_38c13_row13_col11\" class=\"data row13 col11\" >7.46%</td>\n",
       "      <td id=\"T_38c13_row13_col12\" class=\"data row13 col12\" >8.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_38c13_row14_col0\" class=\"data row14 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col1\" class=\"data row14 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col2\" class=\"data row14 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col3\" class=\"data row14 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col4\" class=\"data row14 col4\" >0.65%</td>\n",
       "      <td id=\"T_38c13_row14_col5\" class=\"data row14 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col6\" class=\"data row14 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col7\" class=\"data row14 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col8\" class=\"data row14 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col9\" class=\"data row14 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col10\" class=\"data row14 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row14_col11\" class=\"data row14 col11\" >1.01%</td>\n",
       "      <td id=\"T_38c13_row14_col12\" class=\"data row14 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_38c13_row15_col0\" class=\"data row15 col0\" >11.45%</td>\n",
       "      <td id=\"T_38c13_row15_col1\" class=\"data row15 col1\" >11.32%</td>\n",
       "      <td id=\"T_38c13_row15_col2\" class=\"data row15 col2\" >11.37%</td>\n",
       "      <td id=\"T_38c13_row15_col3\" class=\"data row15 col3\" >10.92%</td>\n",
       "      <td id=\"T_38c13_row15_col4\" class=\"data row15 col4\" >8.31%</td>\n",
       "      <td id=\"T_38c13_row15_col5\" class=\"data row15 col5\" >14.10%</td>\n",
       "      <td id=\"T_38c13_row15_col6\" class=\"data row15 col6\" >14.10%</td>\n",
       "      <td id=\"T_38c13_row15_col7\" class=\"data row15 col7\" >5.62%</td>\n",
       "      <td id=\"T_38c13_row15_col8\" class=\"data row15 col8\" >13.90%</td>\n",
       "      <td id=\"T_38c13_row15_col9\" class=\"data row15 col9\" >51.54%</td>\n",
       "      <td id=\"T_38c13_row15_col10\" class=\"data row15 col10\" >13.51%</td>\n",
       "      <td id=\"T_38c13_row15_col11\" class=\"data row15 col11\" >10.24%</td>\n",
       "      <td id=\"T_38c13_row15_col12\" class=\"data row15 col12\" >11.72%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_38c13_row16_col0\" class=\"data row16 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col1\" class=\"data row16 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col2\" class=\"data row16 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col3\" class=\"data row16 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col4\" class=\"data row16 col4\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col5\" class=\"data row16 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col6\" class=\"data row16 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col7\" class=\"data row16 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col8\" class=\"data row16 col8\" >0.07%</td>\n",
       "      <td id=\"T_38c13_row16_col9\" class=\"data row16 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col10\" class=\"data row16 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row16_col11\" class=\"data row16 col11\" >0.55%</td>\n",
       "      <td id=\"T_38c13_row16_col12\" class=\"data row16 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_38c13_row17_col0\" class=\"data row17 col0\" >14.92%</td>\n",
       "      <td id=\"T_38c13_row17_col1\" class=\"data row17 col1\" >14.66%</td>\n",
       "      <td id=\"T_38c13_row17_col2\" class=\"data row17 col2\" >14.76%</td>\n",
       "      <td id=\"T_38c13_row17_col3\" class=\"data row17 col3\" >13.74%</td>\n",
       "      <td id=\"T_38c13_row17_col4\" class=\"data row17 col4\" >10.44%</td>\n",
       "      <td id=\"T_38c13_row17_col5\" class=\"data row17 col5\" >8.22%</td>\n",
       "      <td id=\"T_38c13_row17_col6\" class=\"data row17 col6\" >8.22%</td>\n",
       "      <td id=\"T_38c13_row17_col7\" class=\"data row17 col7\" >15.27%</td>\n",
       "      <td id=\"T_38c13_row17_col8\" class=\"data row17 col8\" >14.34%</td>\n",
       "      <td id=\"T_38c13_row17_col9\" class=\"data row17 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row17_col10\" class=\"data row17 col10\" >16.57%</td>\n",
       "      <td id=\"T_38c13_row17_col11\" class=\"data row17 col11\" >12.72%</td>\n",
       "      <td id=\"T_38c13_row17_col12\" class=\"data row17 col12\" >15.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_38c13_row18_col0\" class=\"data row18 col0\" >0.17%</td>\n",
       "      <td id=\"T_38c13_row18_col1\" class=\"data row18 col1\" >0.33%</td>\n",
       "      <td id=\"T_38c13_row18_col2\" class=\"data row18 col2\" >0.26%</td>\n",
       "      <td id=\"T_38c13_row18_col3\" class=\"data row18 col3\" >0.85%</td>\n",
       "      <td id=\"T_38c13_row18_col4\" class=\"data row18 col4\" >3.61%</td>\n",
       "      <td id=\"T_38c13_row18_col5\" class=\"data row18 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row18_col6\" class=\"data row18 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row18_col7\" class=\"data row18 col7\" >5.98%</td>\n",
       "      <td id=\"T_38c13_row18_col8\" class=\"data row18 col8\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row18_col9\" class=\"data row18 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row18_col10\" class=\"data row18 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row18_col11\" class=\"data row18 col11\" >1.26%</td>\n",
       "      <td id=\"T_38c13_row18_col12\" class=\"data row18 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_38c13_row19_col0\" class=\"data row19 col0\" >6.59%</td>\n",
       "      <td id=\"T_38c13_row19_col1\" class=\"data row19 col1\" >6.54%</td>\n",
       "      <td id=\"T_38c13_row19_col2\" class=\"data row19 col2\" >6.56%</td>\n",
       "      <td id=\"T_38c13_row19_col3\" class=\"data row19 col3\" >6.39%</td>\n",
       "      <td id=\"T_38c13_row19_col4\" class=\"data row19 col4\" >6.07%</td>\n",
       "      <td id=\"T_38c13_row19_col5\" class=\"data row19 col5\" >1.81%</td>\n",
       "      <td id=\"T_38c13_row19_col6\" class=\"data row19 col6\" >1.81%</td>\n",
       "      <td id=\"T_38c13_row19_col7\" class=\"data row19 col7\" >5.49%</td>\n",
       "      <td id=\"T_38c13_row19_col8\" class=\"data row19 col8\" >8.21%</td>\n",
       "      <td id=\"T_38c13_row19_col9\" class=\"data row19 col9\" >9.03%</td>\n",
       "      <td id=\"T_38c13_row19_col10\" class=\"data row19 col10\" >6.85%</td>\n",
       "      <td id=\"T_38c13_row19_col11\" class=\"data row19 col11\" >5.74%</td>\n",
       "      <td id=\"T_38c13_row19_col12\" class=\"data row19 col12\" >4.98%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_38c13_row20_col0\" class=\"data row20 col0\" >4.09%</td>\n",
       "      <td id=\"T_38c13_row20_col1\" class=\"data row20 col1\" >4.13%</td>\n",
       "      <td id=\"T_38c13_row20_col2\" class=\"data row20 col2\" >4.11%</td>\n",
       "      <td id=\"T_38c13_row20_col3\" class=\"data row20 col3\" >4.23%</td>\n",
       "      <td id=\"T_38c13_row20_col4\" class=\"data row20 col4\" >3.61%</td>\n",
       "      <td id=\"T_38c13_row20_col5\" class=\"data row20 col5\" >1.38%</td>\n",
       "      <td id=\"T_38c13_row20_col6\" class=\"data row20 col6\" >1.38%</td>\n",
       "      <td id=\"T_38c13_row20_col7\" class=\"data row20 col7\" >6.25%</td>\n",
       "      <td id=\"T_38c13_row20_col8\" class=\"data row20 col8\" >1.95%</td>\n",
       "      <td id=\"T_38c13_row20_col9\" class=\"data row20 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row20_col10\" class=\"data row20 col10\" >3.70%</td>\n",
       "      <td id=\"T_38c13_row20_col11\" class=\"data row20 col11\" >3.14%</td>\n",
       "      <td id=\"T_38c13_row20_col12\" class=\"data row20 col12\" >3.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_38c13_row21_col0\" class=\"data row21 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col1\" class=\"data row21 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col2\" class=\"data row21 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col3\" class=\"data row21 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col4\" class=\"data row21 col4\" >1.29%</td>\n",
       "      <td id=\"T_38c13_row21_col5\" class=\"data row21 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col6\" class=\"data row21 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col7\" class=\"data row21 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col8\" class=\"data row21 col8\" >0.48%</td>\n",
       "      <td id=\"T_38c13_row21_col9\" class=\"data row21 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col10\" class=\"data row21 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row21_col11\" class=\"data row21 col11\" >1.96%</td>\n",
       "      <td id=\"T_38c13_row21_col12\" class=\"data row21 col12\" >0.82%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_38c13_row22_col0\" class=\"data row22 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col1\" class=\"data row22 col1\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col2\" class=\"data row22 col2\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col3\" class=\"data row22 col3\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col4\" class=\"data row22 col4\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col5\" class=\"data row22 col5\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col6\" class=\"data row22 col6\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col7\" class=\"data row22 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col8\" class=\"data row22 col8\" >0.64%</td>\n",
       "      <td id=\"T_38c13_row22_col9\" class=\"data row22 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col10\" class=\"data row22 col10\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row22_col11\" class=\"data row22 col11\" >0.27%</td>\n",
       "      <td id=\"T_38c13_row22_col12\" class=\"data row22 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_38c13_row23_col0\" class=\"data row23 col0\" >8.28%</td>\n",
       "      <td id=\"T_38c13_row23_col1\" class=\"data row23 col1\" >8.23%</td>\n",
       "      <td id=\"T_38c13_row23_col2\" class=\"data row23 col2\" >8.25%</td>\n",
       "      <td id=\"T_38c13_row23_col3\" class=\"data row23 col3\" >8.04%</td>\n",
       "      <td id=\"T_38c13_row23_col4\" class=\"data row23 col4\" >9.82%</td>\n",
       "      <td id=\"T_38c13_row23_col5\" class=\"data row23 col5\" >1.70%</td>\n",
       "      <td id=\"T_38c13_row23_col6\" class=\"data row23 col6\" >1.70%</td>\n",
       "      <td id=\"T_38c13_row23_col7\" class=\"data row23 col7\" >7.38%</td>\n",
       "      <td id=\"T_38c13_row23_col8\" class=\"data row23 col8\" >10.69%</td>\n",
       "      <td id=\"T_38c13_row23_col9\" class=\"data row23 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row23_col10\" class=\"data row23 col10\" >9.16%</td>\n",
       "      <td id=\"T_38c13_row23_col11\" class=\"data row23 col11\" >7.57%</td>\n",
       "      <td id=\"T_38c13_row23_col12\" class=\"data row23 col12\" >7.71%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_38c13_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_38c13_row24_col0\" class=\"data row24 col0\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row24_col1\" class=\"data row24 col1\" >0.16%</td>\n",
       "      <td id=\"T_38c13_row24_col2\" class=\"data row24 col2\" >0.06%</td>\n",
       "      <td id=\"T_38c13_row24_col3\" class=\"data row24 col3\" >0.82%</td>\n",
       "      <td id=\"T_38c13_row24_col4\" class=\"data row24 col4\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row24_col5\" class=\"data row24 col5\" >0.86%</td>\n",
       "      <td id=\"T_38c13_row24_col6\" class=\"data row24 col6\" >0.86%</td>\n",
       "      <td id=\"T_38c13_row24_col7\" class=\"data row24 col7\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row24_col8\" class=\"data row24 col8\" >2.99%</td>\n",
       "      <td id=\"T_38c13_row24_col9\" class=\"data row24 col9\" >0.00%</td>\n",
       "      <td id=\"T_38c13_row24_col10\" class=\"data row24 col10\" >3.16%</td>\n",
       "      <td id=\"T_38c13_row24_col11\" class=\"data row24 col11\" >2.01%</td>\n",
       "      <td id=\"T_38c13_row24_col12\" class=\"data row24 col12\" >2.21%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x16173bf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "fig, ax = plt.subplots(figsize=(14,6))\n",
    "\n",
    "w_s.plot.bar(ax=ax, width=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Calculating the portfolio that maximizes Sharpe ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You must convert self.cov to a positive definite matrix\n"
     ]
    }
   ],
   "source": [
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "\n",
    "for i in method_covs:\n",
    "    port.assets_stats(method_mu=method_mu, method_cov=i)\n",
    "    w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = method_covs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
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       "  background-color: #ffffe5;\n",
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       "#T_5382b_row1_col0 {\n",
       "  background-color: #ccea9d;\n",
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       "  background-color: #e5f5ac;\n",
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       "  background-color: #ddf1a6;\n",
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       "  background-color: #b2df90;\n",
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       "  background-color: #69bf72;\n",
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       "  background-color: #5cb86b;\n",
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       "  background-color: #61bb6d;\n",
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       "  background-color: #3ea75a;\n",
       "  color: #f1f1f1;\n",
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       "#T_5382b_row2_col4 {\n",
       "  background-color: #4ab062;\n",
       "  color: #f1f1f1;\n",
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       "#T_5382b_row2_col5, #T_5382b_row2_col6, #T_5382b_row21_col8 {\n",
       "  background-color: #e0f3a8;\n",
       "  color: #000000;\n",
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       "#T_5382b_row2_col7 {\n",
       "  background-color: #2e924c;\n",
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       "  background-color: #62bb6e;\n",
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       "  background-color: #7fc97c;\n",
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       "#T_5382b_row4_col4, #T_5382b_row7_col12 {\n",
       "  background-color: #e7f6ad;\n",
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       "#T_5382b_row4_col5, #T_5382b_row4_col6 {\n",
       "  background-color: #ffffe4;\n",
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       "  background-color: #fcfed6;\n",
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       "#T_5382b_row5_col0, #T_5382b_row5_col12 {\n",
       "  background-color: #a6da8b;\n",
       "  color: #000000;\n",
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       "#T_5382b_row5_col1 {\n",
       "  background-color: #9cd687;\n",
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       "  background-color: #7cc87b;\n",
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       "  background-color: #329850;\n",
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       "  background-color: #ddf2a6;\n",
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       "  background-color: #88cd7f;\n",
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       "  background-color: #fafdcc;\n",
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       "#T_5382b_row7_col0 {\n",
       "  background-color: #ebf7b0;\n",
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       "  background-color: #e6f5ac;\n",
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       "  background-color: #d6efa2;\n",
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       "  background-color: #eaf7af;\n",
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       "#T_5382b_row7_col5, #T_5382b_row7_col6 {\n",
       "  background-color: #f6fcb8;\n",
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       "#T_5382b_row7_col8 {\n",
       "  background-color: #f5fbb8;\n",
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       "#T_5382b_row7_col10 {\n",
       "  background-color: #f4fbb7;\n",
       "  color: #000000;\n",
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       "#T_5382b_row7_col11 {\n",
       "  background-color: #cfec9e;\n",
       "  color: #000000;\n",
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       "#T_5382b_row9_col4 {\n",
       "  background-color: #fdfedb;\n",
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       "#T_5382b_row10_col0 {\n",
       "  background-color: #a2d88a;\n",
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       "#T_5382b_row10_col1 {\n",
       "  background-color: #95d385;\n",
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       "#T_5382b_row10_col2 {\n",
       "  background-color: #9ad587;\n",
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       "#T_5382b_row10_col3 {\n",
       "  background-color: #6fc174;\n",
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       "#T_5382b_row10_col5, #T_5382b_row10_col6 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
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       "#T_5382b_row10_col7 {\n",
       "  background-color: #fdfeda;\n",
       "  color: #000000;\n",
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       "  background-color: #5ab76a;\n",
       "  color: #f1f1f1;\n",
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       "#T_5382b_row10_col10 {\n",
       "  background-color: #7ec97b;\n",
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       "#T_5382b_row10_col12 {\n",
       "  background-color: #5db96b;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #004529;\n",
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       "  background-color: #d7efa2;\n",
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       "  background-color: #066d39;\n",
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       "  background-color: #0a703a;\n",
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       "  background-color: #005f34;\n",
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       "#T_5382b_row14_col10 {\n",
       "  background-color: #004d2c;\n",
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       "  background-color: #77c679;\n",
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       "  background-color: #70c275;\n",
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       "  background-color: #abdc8d;\n",
       "  color: #000000;\n",
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       "#T_5382b_row15_col8 {\n",
       "  background-color: #64bc6f;\n",
       "  color: #f1f1f1;\n",
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       "#T_5382b_row15_col9 {\n",
       "  background-color: #fdfedd;\n",
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       "#T_5382b_row15_col11 {\n",
       "  background-color: #7ac77a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row15_col12 {\n",
       "  background-color: #74c477;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row17_col4 {\n",
       "  background-color: #feffdf;\n",
       "  color: #000000;\n",
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       "#T_5382b_row19_col4 {\n",
       "  background-color: #dcf1a5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row19_col5, #T_5382b_row19_col6, #T_5382b_row19_col11 {\n",
       "  background-color: #feffe1;\n",
       "  color: #000000;\n",
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       "#T_5382b_row20_col0, #T_5382b_row20_col10 {\n",
       "  background-color: #bce395;\n",
       "  color: #000000;\n",
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       "#T_5382b_row20_col1 {\n",
       "  background-color: #b6e192;\n",
       "  color: #000000;\n",
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       "#T_5382b_row20_col2 {\n",
       "  background-color: #b9e294;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row20_col4 {\n",
       "  background-color: #bde496;\n",
       "  color: #000000;\n",
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       "#T_5382b_row20_col5, #T_5382b_row20_col6 {\n",
       "  background-color: #f7fcb9;\n",
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       "#T_5382b_row20_col7 {\n",
       "  background-color: #86cc7f;\n",
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       "#T_5382b_row20_col12, #T_5382b_row21_col11 {\n",
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       "#T_5382b_row23_col1 {\n",
       "  background-color: #e1f3a9;\n",
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       "  background-color: #d0ec9f;\n",
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       "  background-color: #43ac5e;\n",
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       "  background-color: #b5e092;\n",
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       "  background-color: #c3e698;\n",
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       "  background-color: #a7db8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row23_col11 {\n",
       "  background-color: #def2a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row23_col12 {\n",
       "  background-color: #f8fcc0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5382b_row24_col11 {\n",
       "  background-color: #fdfed9;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_5382b\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_5382b_level0_col0\" class=\"col_heading level0 col0\" >hist</th>\n",
       "      <th id=\"T_5382b_level0_col1\" class=\"col_heading level0 col1\" >ledoit</th>\n",
       "      <th id=\"T_5382b_level0_col2\" class=\"col_heading level0 col2\" >oas</th>\n",
       "      <th id=\"T_5382b_level0_col3\" class=\"col_heading level0 col3\" >shrunk</th>\n",
       "      <th id=\"T_5382b_level0_col4\" class=\"col_heading level0 col4\" >gl</th>\n",
       "      <th id=\"T_5382b_level0_col5\" class=\"col_heading level0 col5\" >ewma1</th>\n",
       "      <th id=\"T_5382b_level0_col6\" class=\"col_heading level0 col6\" >ewma2</th>\n",
       "      <th id=\"T_5382b_level0_col7\" class=\"col_heading level0 col7\" >jlogo</th>\n",
       "      <th id=\"T_5382b_level0_col8\" class=\"col_heading level0 col8\" >fixed</th>\n",
       "      <th id=\"T_5382b_level0_col9\" class=\"col_heading level0 col9\" >spectral</th>\n",
       "      <th id=\"T_5382b_level0_col10\" class=\"col_heading level0 col10\" >shrink</th>\n",
       "      <th id=\"T_5382b_level0_col11\" class=\"col_heading level0 col11\" >gerber1</th>\n",
       "      <th id=\"T_5382b_level0_col12\" class=\"col_heading level0 col12\" >gerber2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_5382b_row0_col0\" class=\"data row0 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col1\" class=\"data row0 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col2\" class=\"data row0 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col3\" class=\"data row0 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col4\" class=\"data row0 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col5\" class=\"data row0 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col6\" class=\"data row0 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col7\" class=\"data row0 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col8\" class=\"data row0 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col9\" class=\"data row0 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col10\" class=\"data row0 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col11\" class=\"data row0 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row0_col12\" class=\"data row0 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_5382b_row1_col0\" class=\"data row1 col0\" >6.16%</td>\n",
       "      <td id=\"T_5382b_row1_col1\" class=\"data row1 col1\" >6.30%</td>\n",
       "      <td id=\"T_5382b_row1_col2\" class=\"data row1 col2\" >6.24%</td>\n",
       "      <td id=\"T_5382b_row1_col3\" class=\"data row1 col3\" >6.72%</td>\n",
       "      <td id=\"T_5382b_row1_col4\" class=\"data row1 col4\" >4.33%</td>\n",
       "      <td id=\"T_5382b_row1_col5\" class=\"data row1 col5\" >8.81%</td>\n",
       "      <td id=\"T_5382b_row1_col6\" class=\"data row1 col6\" >8.81%</td>\n",
       "      <td id=\"T_5382b_row1_col7\" class=\"data row1 col7\" >10.43%</td>\n",
       "      <td id=\"T_5382b_row1_col8\" class=\"data row1 col8\" >4.07%</td>\n",
       "      <td id=\"T_5382b_row1_col9\" class=\"data row1 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row1_col10\" class=\"data row1 col10\" >4.86%</td>\n",
       "      <td id=\"T_5382b_row1_col11\" class=\"data row1 col11\" >6.73%</td>\n",
       "      <td id=\"T_5382b_row1_col12\" class=\"data row1 col12\" >6.74%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_5382b_row2_col0\" class=\"data row2 col0\" >11.50%</td>\n",
       "      <td id=\"T_5382b_row2_col1\" class=\"data row2 col1\" >11.61%</td>\n",
       "      <td id=\"T_5382b_row2_col2\" class=\"data row2 col2\" >11.57%</td>\n",
       "      <td id=\"T_5382b_row2_col3\" class=\"data row2 col3\" >11.47%</td>\n",
       "      <td id=\"T_5382b_row2_col4\" class=\"data row2 col4\" >10.41%</td>\n",
       "      <td id=\"T_5382b_row2_col5\" class=\"data row2 col5\" >7.36%</td>\n",
       "      <td id=\"T_5382b_row2_col6\" class=\"data row2 col6\" >7.36%</td>\n",
       "      <td id=\"T_5382b_row2_col7\" class=\"data row2 col7\" >13.24%</td>\n",
       "      <td id=\"T_5382b_row2_col8\" class=\"data row2 col8\" >10.43%</td>\n",
       "      <td id=\"T_5382b_row2_col9\" class=\"data row2 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row2_col10\" class=\"data row2 col10\" >10.62%</td>\n",
       "      <td id=\"T_5382b_row2_col11\" class=\"data row2 col11\" >10.20%</td>\n",
       "      <td id=\"T_5382b_row2_col12\" class=\"data row2 col12\" >10.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_5382b_row3_col0\" class=\"data row3 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col1\" class=\"data row3 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col2\" class=\"data row3 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col3\" class=\"data row3 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col4\" class=\"data row3 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col5\" class=\"data row3 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col6\" class=\"data row3 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col7\" class=\"data row3 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col8\" class=\"data row3 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col9\" class=\"data row3 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col10\" class=\"data row3 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col11\" class=\"data row3 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row3_col12\" class=\"data row3 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_5382b_row4_col0\" class=\"data row4 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col1\" class=\"data row4 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col2\" class=\"data row4 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col3\" class=\"data row4 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col4\" class=\"data row4 col4\" >3.32%</td>\n",
       "      <td id=\"T_5382b_row4_col5\" class=\"data row4 col5\" >0.19%</td>\n",
       "      <td id=\"T_5382b_row4_col6\" class=\"data row4 col6\" >0.19%</td>\n",
       "      <td id=\"T_5382b_row4_col7\" class=\"data row4 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col8\" class=\"data row4 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col9\" class=\"data row4 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col10\" class=\"data row4 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row4_col11\" class=\"data row4 col11\" >0.84%</td>\n",
       "      <td id=\"T_5382b_row4_col12\" class=\"data row4 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_5382b_row5_col0\" class=\"data row5 col0\" >8.48%</td>\n",
       "      <td id=\"T_5382b_row5_col1\" class=\"data row5 col1\" >8.58%</td>\n",
       "      <td id=\"T_5382b_row5_col2\" class=\"data row5 col2\" >8.54%</td>\n",
       "      <td id=\"T_5382b_row5_col3\" class=\"data row5 col3\" >8.81%</td>\n",
       "      <td id=\"T_5382b_row5_col4\" class=\"data row5 col4\" >11.76%</td>\n",
       "      <td id=\"T_5382b_row5_col5\" class=\"data row5 col5\" >6.34%</td>\n",
       "      <td id=\"T_5382b_row5_col6\" class=\"data row5 col6\" >6.34%</td>\n",
       "      <td id=\"T_5382b_row5_col7\" class=\"data row5 col7\" >12.24%</td>\n",
       "      <td id=\"T_5382b_row5_col8\" class=\"data row5 col8\" >6.55%</td>\n",
       "      <td id=\"T_5382b_row5_col9\" class=\"data row5 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row5_col10\" class=\"data row5 col10\" >4.79%</td>\n",
       "      <td id=\"T_5382b_row5_col11\" class=\"data row5 col11\" >8.60%</td>\n",
       "      <td id=\"T_5382b_row5_col12\" class=\"data row5 col12\" >8.27%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_5382b_row6_col0\" class=\"data row6 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col1\" class=\"data row6 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col2\" class=\"data row6 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col3\" class=\"data row6 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col4\" class=\"data row6 col4\" >1.22%</td>\n",
       "      <td id=\"T_5382b_row6_col5\" class=\"data row6 col5\" >0.05%</td>\n",
       "      <td id=\"T_5382b_row6_col6\" class=\"data row6 col6\" >0.05%</td>\n",
       "      <td id=\"T_5382b_row6_col7\" class=\"data row6 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col8\" class=\"data row6 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col9\" class=\"data row6 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col10\" class=\"data row6 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col11\" class=\"data row6 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row6_col12\" class=\"data row6 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_5382b_row7_col0\" class=\"data row7 col0\" >3.82%</td>\n",
       "      <td id=\"T_5382b_row7_col1\" class=\"data row7 col1\" >4.04%</td>\n",
       "      <td id=\"T_5382b_row7_col2\" class=\"data row7 col2\" >3.95%</td>\n",
       "      <td id=\"T_5382b_row7_col3\" class=\"data row7 col3\" >4.70%</td>\n",
       "      <td id=\"T_5382b_row7_col4\" class=\"data row7 col4\" >3.10%</td>\n",
       "      <td id=\"T_5382b_row7_col5\" class=\"data row7 col5\" >4.31%</td>\n",
       "      <td id=\"T_5382b_row7_col6\" class=\"data row7 col6\" >4.31%</td>\n",
       "      <td id=\"T_5382b_row7_col7\" class=\"data row7 col7\" >6.99%</td>\n",
       "      <td id=\"T_5382b_row7_col8\" class=\"data row7 col8\" >2.75%</td>\n",
       "      <td id=\"T_5382b_row7_col9\" class=\"data row7 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row7_col10\" class=\"data row7 col10\" >2.87%</td>\n",
       "      <td id=\"T_5382b_row7_col11\" class=\"data row7 col11\" >5.16%</td>\n",
       "      <td id=\"T_5382b_row7_col12\" class=\"data row7 col12\" >4.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_5382b_row8_col0\" class=\"data row8 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col1\" class=\"data row8 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col2\" class=\"data row8 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col3\" class=\"data row8 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col4\" class=\"data row8 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col5\" class=\"data row8 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col6\" class=\"data row8 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col7\" class=\"data row8 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col8\" class=\"data row8 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col9\" class=\"data row8 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col10\" class=\"data row8 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col11\" class=\"data row8 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row8_col12\" class=\"data row8 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_5382b_row9_col0\" class=\"data row9 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col1\" class=\"data row9 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col2\" class=\"data row9 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col3\" class=\"data row9 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col4\" class=\"data row9 col4\" >0.49%</td>\n",
       "      <td id=\"T_5382b_row9_col5\" class=\"data row9 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col6\" class=\"data row9 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col7\" class=\"data row9 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col8\" class=\"data row9 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col9\" class=\"data row9 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col10\" class=\"data row9 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col11\" class=\"data row9 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row9_col12\" class=\"data row9 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_5382b_row10_col0\" class=\"data row10 col0\" >8.63%</td>\n",
       "      <td id=\"T_5382b_row10_col1\" class=\"data row10 col1\" >8.88%</td>\n",
       "      <td id=\"T_5382b_row10_col2\" class=\"data row10 col2\" >8.79%</td>\n",
       "      <td id=\"T_5382b_row10_col3\" class=\"data row10 col3\" >9.35%</td>\n",
       "      <td id=\"T_5382b_row10_col4\" class=\"data row10 col4\" >5.29%</td>\n",
       "      <td id=\"T_5382b_row10_col5\" class=\"data row10 col5\" >7.53%</td>\n",
       "      <td id=\"T_5382b_row10_col6\" class=\"data row10 col6\" >7.53%</td>\n",
       "      <td id=\"T_5382b_row10_col7\" class=\"data row10 col7\" >0.59%</td>\n",
       "      <td id=\"T_5382b_row10_col8\" class=\"data row10 col8\" >11.52%</td>\n",
       "      <td id=\"T_5382b_row10_col9\" class=\"data row10 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row10_col10\" class=\"data row10 col10\" >10.08%</td>\n",
       "      <td id=\"T_5382b_row10_col11\" class=\"data row10 col11\" >10.56%</td>\n",
       "      <td id=\"T_5382b_row10_col12\" class=\"data row10 col12\" >11.78%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_5382b_row11_col0\" class=\"data row11 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col1\" class=\"data row11 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col2\" class=\"data row11 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col3\" class=\"data row11 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col4\" class=\"data row11 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col5\" class=\"data row11 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col6\" class=\"data row11 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col7\" class=\"data row11 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col8\" class=\"data row11 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col9\" class=\"data row11 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col10\" class=\"data row11 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col11\" class=\"data row11 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row11_col12\" class=\"data row11 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_5382b_row12_col0\" class=\"data row12 col0\" >21.54%</td>\n",
       "      <td id=\"T_5382b_row12_col1\" class=\"data row12 col1\" >20.63%</td>\n",
       "      <td id=\"T_5382b_row12_col2\" class=\"data row12 col2\" >20.99%</td>\n",
       "      <td id=\"T_5382b_row12_col3\" class=\"data row12 col3\" >17.99%</td>\n",
       "      <td id=\"T_5382b_row12_col4\" class=\"data row12 col4\" >17.20%</td>\n",
       "      <td id=\"T_5382b_row12_col5\" class=\"data row12 col5\" >8.52%</td>\n",
       "      <td id=\"T_5382b_row12_col6\" class=\"data row12 col6\" >8.52%</td>\n",
       "      <td id=\"T_5382b_row12_col7\" class=\"data row12 col7\" >15.40%</td>\n",
       "      <td id=\"T_5382b_row12_col8\" class=\"data row12 col8\" >20.29%</td>\n",
       "      <td id=\"T_5382b_row12_col9\" class=\"data row12 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row12_col10\" class=\"data row12 col10\" >20.70%</td>\n",
       "      <td id=\"T_5382b_row12_col11\" class=\"data row12 col11\" >18.54%</td>\n",
       "      <td id=\"T_5382b_row12_col12\" class=\"data row12 col12\" >20.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_5382b_row13_col0\" class=\"data row13 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col1\" class=\"data row13 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col2\" class=\"data row13 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col3\" class=\"data row13 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col4\" class=\"data row13 col4\" >1.28%</td>\n",
       "      <td id=\"T_5382b_row13_col5\" class=\"data row13 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col6\" class=\"data row13 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col7\" class=\"data row13 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col8\" class=\"data row13 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col9\" class=\"data row13 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col10\" class=\"data row13 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col11\" class=\"data row13 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row13_col12\" class=\"data row13 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_5382b_row14_col0\" class=\"data row14 col0\" >17.59%</td>\n",
       "      <td id=\"T_5382b_row14_col1\" class=\"data row14 col1\" >17.57%</td>\n",
       "      <td id=\"T_5382b_row14_col2\" class=\"data row14 col2\" >17.58%</td>\n",
       "      <td id=\"T_5382b_row14_col3\" class=\"data row14 col3\" >17.10%</td>\n",
       "      <td id=\"T_5382b_row14_col4\" class=\"data row14 col4\" >8.56%</td>\n",
       "      <td id=\"T_5382b_row14_col5\" class=\"data row14 col5\" >33.31%</td>\n",
       "      <td id=\"T_5382b_row14_col6\" class=\"data row14 col6\" >33.31%</td>\n",
       "      <td id=\"T_5382b_row14_col7\" class=\"data row14 col7\" >18.75%</td>\n",
       "      <td id=\"T_5382b_row14_col8\" class=\"data row14 col8\" >18.33%</td>\n",
       "      <td id=\"T_5382b_row14_col9\" class=\"data row14 col9\" >70.70%</td>\n",
       "      <td id=\"T_5382b_row14_col10\" class=\"data row14 col10\" >20.06%</td>\n",
       "      <td id=\"T_5382b_row14_col11\" class=\"data row14 col11\" >14.62%</td>\n",
       "      <td id=\"T_5382b_row14_col12\" class=\"data row14 col12\" >17.18%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_5382b_row15_col0\" class=\"data row15 col0\" >10.83%</td>\n",
       "      <td id=\"T_5382b_row15_col1\" class=\"data row15 col1\" >10.70%</td>\n",
       "      <td id=\"T_5382b_row15_col2\" class=\"data row15 col2\" >10.75%</td>\n",
       "      <td id=\"T_5382b_row15_col3\" class=\"data row15 col3\" >10.22%</td>\n",
       "      <td id=\"T_5382b_row15_col4\" class=\"data row15 col4\" >8.61%</td>\n",
       "      <td id=\"T_5382b_row15_col5\" class=\"data row15 col5\" >12.75%</td>\n",
       "      <td id=\"T_5382b_row15_col6\" class=\"data row15 col6\" >12.75%</td>\n",
       "      <td id=\"T_5382b_row15_col7\" class=\"data row15 col7\" >6.98%</td>\n",
       "      <td id=\"T_5382b_row15_col8\" class=\"data row15 col8\" >11.09%</td>\n",
       "      <td id=\"T_5382b_row15_col9\" class=\"data row15 col9\" >1.76%</td>\n",
       "      <td id=\"T_5382b_row15_col10\" class=\"data row15 col10\" >11.04%</td>\n",
       "      <td id=\"T_5382b_row15_col11\" class=\"data row15 col11\" >9.14%</td>\n",
       "      <td id=\"T_5382b_row15_col12\" class=\"data row15 col12\" >10.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_5382b_row16_col0\" class=\"data row16 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col1\" class=\"data row16 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col2\" class=\"data row16 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col3\" class=\"data row16 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col4\" class=\"data row16 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col5\" class=\"data row16 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col6\" class=\"data row16 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col7\" class=\"data row16 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col8\" class=\"data row16 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col9\" class=\"data row16 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col10\" class=\"data row16 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col11\" class=\"data row16 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row16_col12\" class=\"data row16 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_5382b_row17_col0\" class=\"data row17 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col1\" class=\"data row17 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col2\" class=\"data row17 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col3\" class=\"data row17 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col4\" class=\"data row17 col4\" >0.33%</td>\n",
       "      <td id=\"T_5382b_row17_col5\" class=\"data row17 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col6\" class=\"data row17 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col7\" class=\"data row17 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col8\" class=\"data row17 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col9\" class=\"data row17 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col10\" class=\"data row17 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col11\" class=\"data row17 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row17_col12\" class=\"data row17 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_5382b_row18_col0\" class=\"data row18 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col1\" class=\"data row18 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col2\" class=\"data row18 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col3\" class=\"data row18 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col4\" class=\"data row18 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col5\" class=\"data row18 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col6\" class=\"data row18 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col7\" class=\"data row18 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col8\" class=\"data row18 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col9\" class=\"data row18 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col10\" class=\"data row18 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col11\" class=\"data row18 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row18_col12\" class=\"data row18 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_5382b_row19_col0\" class=\"data row19 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col1\" class=\"data row19 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col2\" class=\"data row19 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col3\" class=\"data row19 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col4\" class=\"data row19 col4\" >4.15%</td>\n",
       "      <td id=\"T_5382b_row19_col5\" class=\"data row19 col5\" >0.43%</td>\n",
       "      <td id=\"T_5382b_row19_col6\" class=\"data row19 col6\" >0.43%</td>\n",
       "      <td id=\"T_5382b_row19_col7\" class=\"data row19 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col8\" class=\"data row19 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col9\" class=\"data row19 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col10\" class=\"data row19 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row19_col11\" class=\"data row19 col11\" >0.25%</td>\n",
       "      <td id=\"T_5382b_row19_col12\" class=\"data row19 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_5382b_row20_col0\" class=\"data row20 col0\" >7.18%</td>\n",
       "      <td id=\"T_5382b_row20_col1\" class=\"data row20 col1\" >7.23%</td>\n",
       "      <td id=\"T_5382b_row20_col2\" class=\"data row20 col2\" >7.21%</td>\n",
       "      <td id=\"T_5382b_row20_col3\" class=\"data row20 col3\" >7.36%</td>\n",
       "      <td id=\"T_5382b_row20_col4\" class=\"data row20 col4\" >5.68%</td>\n",
       "      <td id=\"T_5382b_row20_col5\" class=\"data row20 col5\" >4.24%</td>\n",
       "      <td id=\"T_5382b_row20_col6\" class=\"data row20 col6\" >4.24%</td>\n",
       "      <td id=\"T_5382b_row20_col7\" class=\"data row20 col7\" >8.74%</td>\n",
       "      <td id=\"T_5382b_row20_col8\" class=\"data row20 col8\" >4.08%</td>\n",
       "      <td id=\"T_5382b_row20_col9\" class=\"data row20 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row20_col10\" class=\"data row20 col10\" >6.94%</td>\n",
       "      <td id=\"T_5382b_row20_col11\" class=\"data row20 col11\" >5.53%</td>\n",
       "      <td id=\"T_5382b_row20_col12\" class=\"data row20 col12\" >5.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_5382b_row21_col0\" class=\"data row21 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col1\" class=\"data row21 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col2\" class=\"data row21 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col3\" class=\"data row21 col3\" >1.32%</td>\n",
       "      <td id=\"T_5382b_row21_col4\" class=\"data row21 col4\" >3.59%</td>\n",
       "      <td id=\"T_5382b_row21_col5\" class=\"data row21 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col6\" class=\"data row21 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col7\" class=\"data row21 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col8\" class=\"data row21 col8\" >4.49%</td>\n",
       "      <td id=\"T_5382b_row21_col9\" class=\"data row21 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row21_col10\" class=\"data row21 col10\" >0.20%</td>\n",
       "      <td id=\"T_5382b_row21_col11\" class=\"data row21 col11\" >4.93%</td>\n",
       "      <td id=\"T_5382b_row21_col12\" class=\"data row21 col12\" >2.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_5382b_row22_col0\" class=\"data row22 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col1\" class=\"data row22 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col2\" class=\"data row22 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col3\" class=\"data row22 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col4\" class=\"data row22 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col5\" class=\"data row22 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col6\" class=\"data row22 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col7\" class=\"data row22 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col8\" class=\"data row22 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col9\" class=\"data row22 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col10\" class=\"data row22 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col11\" class=\"data row22 col11\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row22_col12\" class=\"data row22 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_5382b_row23_col0\" class=\"data row23 col0\" >4.27%</td>\n",
       "      <td id=\"T_5382b_row23_col1\" class=\"data row23 col1\" >4.47%</td>\n",
       "      <td id=\"T_5382b_row23_col2\" class=\"data row23 col2\" >4.39%</td>\n",
       "      <td id=\"T_5382b_row23_col3\" class=\"data row23 col3\" >4.96%</td>\n",
       "      <td id=\"T_5382b_row23_col4\" class=\"data row23 col4\" >10.66%</td>\n",
       "      <td id=\"T_5382b_row23_col5\" class=\"data row23 col5\" >6.17%</td>\n",
       "      <td id=\"T_5382b_row23_col6\" class=\"data row23 col6\" >6.17%</td>\n",
       "      <td id=\"T_5382b_row23_col7\" class=\"data row23 col7\" >6.66%</td>\n",
       "      <td id=\"T_5382b_row23_col8\" class=\"data row23 col8\" >6.41%</td>\n",
       "      <td id=\"T_5382b_row23_col9\" class=\"data row23 col9\" >27.53%</td>\n",
       "      <td id=\"T_5382b_row23_col10\" class=\"data row23 col10\" >7.85%</td>\n",
       "      <td id=\"T_5382b_row23_col11\" class=\"data row23 col11\" >4.22%</td>\n",
       "      <td id=\"T_5382b_row23_col12\" class=\"data row23 col12\" >2.26%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5382b_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_5382b_row24_col0\" class=\"data row24 col0\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col1\" class=\"data row24 col1\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col2\" class=\"data row24 col2\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col3\" class=\"data row24 col3\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col4\" class=\"data row24 col4\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col5\" class=\"data row24 col5\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col6\" class=\"data row24 col6\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col7\" class=\"data row24 col7\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col8\" class=\"data row24 col8\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col9\" class=\"data row24 col9\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col10\" class=\"data row24 col10\" >0.00%</td>\n",
       "      <td id=\"T_5382b_row24_col11\" class=\"data row24 col11\" >0.68%</td>\n",
       "      <td id=\"T_5382b_row24_col12\" class=\"data row24 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x312ec8e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting a comparison of assets weights for each portfolio\n",
    "ax, fig = plt.subplots(figsize=(14,6))\n",
    "\n",
    "w_s.plot.bar(ax=fig, width=0.8)"
   ]
  }
 ],
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